Knowledge Graph Data Scientist for AI Research

Peraton; Red Bank (AL); On-site; USD 146,000 - 234,000; Full time

Job summary

Peraton is seeking a Data Scientist to build and curate a knowledge base for a generative AI/ML research effort, and to develop data and knowledge extraction pipelines for machine learning models. You will extract, structure, and validate design knowledge into knowledge graphs and ontologies; manage metadata, annotation, and provenance of program datasets.

The ideal candidate is a strong applied data scientist with an interest in symbolic and structured representations of knowledge.

Qualifications

• Bachelor’s Degree or higher in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related technical field.
• 5+ years of applied data science or data engineering experience with data pipelines and analyses that others depend on.
• Strong Python proficiency with NumPy, pandas, SciPy, scikit-learn and experience with at least one deep learning framework (PyTorch preferred).
• Hands-on experience with knowledge graphs, ontologies, or structured knowledge representation and querying/validating them (SPARQL, Cypher, SHACL, etc.).
• Experience designing data schemas, metadata standards, and annotation workflows for large datasets, including provenance.

Responsibilities

• Design, build, and populate the research team’s knowledge bases with provenance tracking.
• Develop knowledge extraction pipelines (rule-based, statistical, ML) to convert unstructured sources into structured knowledge.
• Engineer metadata, annotation schemas, and packaging for program datasets to ensure reproducibility.
• Perform exploratory and inferential analysis on training data and results; build dashboards and reports for model researchers.
• Coordinate with subcontractors on shared data and knowledge resources.

Skills

Python proficiency

Statistical analysis

Deep learning (PyTorch)

SQL

Documentation

Education

Bachelor’s Degree or higher in Computer Science, Statistics, Mathematics, Electrical Engineering, or related field

MS or PhD in related field

Tools

Neo4j

RDF/OWL

SPARQL

Cypher

SHACL

Airflow

Dagster

DVC

Job description

Peraton is seeking a Data Scientist to build and curate a knowledge base for a generative AI/ML research effort, and to develop data and knowledge extraction pipelines for machine learning models. You will extract, structure, and validate design knowledge into knowledge graphs and ontologies; manage metadata, annotation, and provenance of program datasets.

The ideal candidate is a strong applied data scientist with an interest in symbolic and structured representations of knowledge.